Evidence map›Paper›PMID 40487794›Full record

ArticleLiver cancer2025

Comparison of Gadoxetic Acid-Enhanced Liver Magnetic Resonance Imaging and Contrast-Enhanced Computed Tomography for the Noninvasive Diagnosis of Hepatocellular Carcinoma.

Jeong Hee Yoon, Won Chang, Young Kon Kim, Chang Hee Lee, Jeong Woo Kim, Beom Jin Park, Jin-Young Choi, Seung-Seob Kim, Hee Sun Park, Eun Sun Lee and 6 more

Abstract read
In one paragraph

Article in Liver cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Comparison of abbreviated MRI and ultrasonography in the detection of early hepatocellular carcinoma: a meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jeong Hee YoonDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
Won ChangDepartment of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Young Kon KimDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Chang Hee LeeDepartment of Radiology, Korea University Guro Hospital and College of Medicine, Seoul, Republic of Korea.
Jeong Woo KimDepartment of Radiology, Korea University Guro Hospital and College of Medicine, Seoul, Republic of Korea.
Beom Jin ParkDepartment of Radiology, Korea University Anam Hospital, Seoul, Republic of Korea.
Jin-Young ChoiDepartment of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seung-Seob KimDepartment of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hee Sun ParkDepartment of Radiology, Konkuk University School of Medicine, Seoul, Republic of Korea.
Eun Sun LeeDepartment of Radiology, Chung-Ang University Hospital, Seoul, Republic of Korea.
Jeong-Sik YuDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seong Jin ParkDepartment of Radiology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea.
Myung-Won YouDepartment of Radiology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea.
Myoung-Jin JangMedical Research Collaborating Center, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Joon-Il ChoiDepartment of Radiology, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jeong Min LeeDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Magnetic resonance imaging (MRI) has been shown to outperform computed tomography (CT) in diagnosing hepatocellular carcinoma (HCC), although inconsistencies exist across studies. We compared the performance of CT and gadoxetic acid-enhanced MRI in diagnosing HCC according to various guidelines, and to assess the incremental value of a second-line examination. Methods: This retrospective multicenter study included patients at risk of developing HCC with focal liver lesions (FLLs) ≥10 mm. These patients underwent both contrast-enhanced CT and gadoxetic acid-enhanced MRI between January 2015 and June 2018. Four radiologists independently assessed the images using criteria from the Liver Imaging Reporting and Data System (LI-RADS), the Asian Pacific Association for the Study of the Liver (APASL), and the Korean Liver Cancer Association-National Cancer Center (KLCA-NCC) guidelines. The diagnostic performance of CT and MRI was compared across guidelines. Results: In total, 1,590 FLLs (median size, 22.6 mm) were analyzed in 1,455 patients (median age, 59 years; male, 1,101). Sensitivity was higher with MRI than with CT for APASL (89.3% [95% CI: 87.7%, 90.8%] vs. 78.9% [95% CI: 77.0%, 80.8%], respectively) and KLCA-NCC (78.7% [95% CI: 76.7%, 85.0%] vs. 73.7% [95% CI: 71.6%, 75.7%], respectively) ( Conclusion: The added value of gadoxetic acid-enhanced MRI after CT depends on the diagnostic criteria used. Restricting washout timing to the portal venous phase in LI-RADS reduces the sensitivity of gadoxetic acid-enhanced MRI relative to CT.

Indexed as

Computed tomographyGadoxetic acidHepatocellular carcinomaLiverMagnetic resonance imaging

Identifiers

PMID40487794
PMCPMC12140645

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.